Md. Kowsher

839 total citations · 1 hit paper
37 papers, 449 citations indexed

About

Md. Kowsher is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Numerical Analysis. According to data from OpenAlex, Md. Kowsher has authored 37 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Numerical Analysis. Recurrent topics in Md. Kowsher's work include Topic Modeling (15 papers), Natural Language Processing Techniques (9 papers) and Sentiment Analysis and Opinion Mining (4 papers). Md. Kowsher is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (9 papers) and Sentiment Analysis and Opinion Mining (4 papers). Md. Kowsher collaborates with scholars based in Bangladesh, United States and Malaysia. Md. Kowsher's co-authors include Nusrat Jahan Prottasha, Saydul Akbar Murad, Anupam Kumar Bairagi, Mehedi Masud, Mohammed Baz, Pranab Kumar Dhar, Mohammad Shamsul Arefin, Takeshi Koshiba, Abu Jafar Md Muzahid and Mohammed Jashim Uddin and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Md. Kowsher

33 papers receiving 428 citations

Hit Papers

Transfer Learning for Sentiment Analysis Using BERT Based... 2022 2026 2023 2024 2022 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning
    2022 118 citations Nusrat Jahan Prottasha, Md. Kowsher et al. Sensors profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Md. Kowsher Bangladesh 11 269 114 47 44 35 37 449
Geeth de Mel United Kingdom 11 205 0.8× 97 0.9× 90 1.9× 22 0.5× 35 1.0× 55 334
Xuejie Zhang China 9 292 1.1× 93 0.8× 57 1.2× 37 0.8× 22 0.6× 22 423
Jian Kang United States 10 237 0.9× 82 0.7× 23 0.5× 52 1.2× 25 0.7× 41 375
Anak Agung Putri Ratna Indonesia 12 165 0.6× 124 1.1× 46 1.0× 58 1.3× 12 0.3× 70 371
Michele Ianni Italy 9 279 1.0× 66 0.6× 100 2.1× 51 1.2× 32 0.9× 36 420
A.K.M. Muzahidul Islam Bangladesh 10 175 0.7× 76 0.7× 58 1.2× 47 1.1× 22 0.6× 26 323
S. Sendhilkumar India 8 202 0.8× 97 0.9× 21 0.4× 33 0.8× 37 1.1× 52 349
Chengcheng Li United States 9 250 0.9× 55 0.5× 64 1.4× 106 2.4× 31 0.9× 33 391
Hengrui Jia China 7 283 1.1× 49 0.4× 38 0.8× 82 1.9× 17 0.5× 12 412
Muzamil Ahmed Pakistan 8 290 1.1× 67 0.6× 43 0.9× 112 2.5× 22 0.6× 16 443

Countries citing papers authored by Md. Kowsher

Since Specialization
Citations

This map shows the geographic impact of Md. Kowsher's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Md. Kowsher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Kowsher more than expected).

Fields of papers citing papers by Md. Kowsher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Kowsher. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Md. Kowsher. The network helps show where Md. Kowsher may publish in the future.

Co-authorship network of co-authors of Md. Kowsher

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Kowsher. A scholar is included among the top collaborators of Md. Kowsher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Md. Kowsher. Md. Kowsher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kowsher, Md., et al.. (2025). LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting. 156–165.
2.
Prottasha, Nusrat Jahan, et al.. (2024). Parameter-efficient fine-tuning of large language models using semantic knowledge tuning. Scientific Reports. 14(1). 30667–30667. 4 indexed citations
3.
Prottasha, Nusrat Jahan, Saydul Akbar Murad, Abu Jafar Md Muzahid, et al.. (2023). Impact learning: A learning method from feature’s impact and competition. Journal of Computational Science. 69. 102011–102011. 3 indexed citations
4.
Prottasha, Nusrat Jahan, et al.. (2023). Short-Term Rainfall Prediction Using Supervised Machine Learning. 8(2). 111–120. 2 indexed citations
5.
6.
Arefin, Mohammad Shamsul, et al.. (2022). A Comprehensive Review on Big Data for Industries: Challenges and Opportunities. IEEE Access. 11. 744–769. 19 indexed citations
7.
Arefin, Mohammad Shamsul, et al.. (2022). CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest Recommendation. IEEE Access. 10. 36299–36310. 15 indexed citations
8.
Kowsher, Md., et al.. (2022). Bangla-BERT: Transformer-Based Efficient Model for Transfer Learning and Language Understanding. IEEE Access. 10. 91855–91870. 45 indexed citations
9.
Kowsher, Md., et al.. (2022). An Enhanced Neural Word Embedding Model for Transfer Learning. Applied Sciences. 12(6). 2848–2848. 18 indexed citations
10.
Prottasha, Nusrat Jahan, Md. Kowsher, Saydul Akbar Murad, et al.. (2022). Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning. Sensors. 22(11). 4157–4157. 118 indexed citations breakdown →
11.
Murad, Saydul Akbar, et al.. (2022). A review on job scheduling technique in cloud computing and priority rule based intelligent framework. Journal of King Saud University - Computer and Information Sciences. 34(6). 2309–2331. 44 indexed citations
12.
Kowsher, Md., et al.. (2021). Development of FasTtext Pre-Trained Model for Bangla NLP Research. SSRN Electronic Journal. 1 indexed citations
13.
Kowsher, Md., et al.. (2021). BnVec: Towards the Development of Word Embedding for Bangla Language Processing. International Journal of Engineering & Technology. 10(2). 95–102. 4 indexed citations
14.
Kowsher, Md., et al.. (2021). BanglaLM: Data Mining based Bangla Corpus for Language Model Research. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). 5. 1435–1438. 5 indexed citations
15.
Kowsher, Md., et al.. (2020). Impact-Learning: A Robust Machine Learning Algorithm. SSRN Electronic Journal. 3 indexed citations
16.
Kowsher, Md., et al.. (2020). Impact-Learning. 9–13. 12 indexed citations
17.
Kowsher, Md., et al.. (2020). Mixed Integer Programming Technique according to Traffic Light for Autonomous Collision Free Ground based on Traffic System. International Journal of Computer Applications. 176(24). 52–60. 1 indexed citations
18.
Kowsher, Md., et al.. (2019). Bengali Information Retrieval System(BIRS). 8(5). 1–12. 4 indexed citations
19.
Kowsher, Md., et al.. (2019). Doly: Bengali Chatbot for Bengali Education. 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT). 1–6. 26 indexed citations
20.
Kowsher, Md., et al.. (2019). Bengali Informative Chatbot. 1–7. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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